Agentic AI Machine Learning Engineer

The leader in AI-native data preparation and analysis, Prophecy is revolutionizing how the

world’s top enterprises turn data chaos into reliable insights. We introduce the AI-native data

lifecycle (generate, refine, deploy) where our industry leading AI agents and humans work hand-in-hand in visual and document interfaces to analyze, transform and prepare data, to ship

trusted insights at enterprise scale.

Must-Have Skills:

• Hands-on LLM/agent building (e.g., LangChain/Graph, CrewAI) and tuning to quality

benchmarks.

• Experience with semantic search, RAG, and vector databases.

• Experience with prompt engineering and optimization

• Agentic Use Cases: Hands-on experience building and deploying agents in at least one

of the following scenarios:

o Workflow Orchestration: Automating multi-step processes (e.g., ETL pipelines,

supply chain optimization, or CRM workflows like Salesforce Agentforce).

o Code Generation/Assistance: Developing or debugging code autonomously

(e.g., similar to Devin AI or GitHub Copilot extensions).

o Data Analysis/Transformation: Querying, manipulating, or analyzing data

across sources (e.g., topic extraction, document analytics in vector DBs like

Weaviate).

o Personalized Assistance: Tailoring recommendations or plans (e.g., e-

commerce, education, or finance agents).

o Autonomous Decision-Making: Real-time decisions in domains like trading or

healthcare (e.g., crypto trading, medical workflow optimization).

o Content Creation: Generating text, art, or media (e.g., social media

automation, presentation creation).

o Multi-Agent Systems: Collaborative agents for simulations or transactions

(e.g., policy-constrained evaluation, machine-to-machine commerce).

• Versatile software developer: fluency in Python, REST APIs, microservices in public

cloud; some experience with Go, AWS, k8s, java, Scala.

• Builder mentality: Demonstrated experience taking ideas to production.